Stehlík, M.Kiseľák, J.Dinamarca, A.Alvarado, E.Plaza, F.Medina, F.A.Stehlíková, S.Marek, J.Venegas, B.Gajdoš, A.Li, Y.Katuščák, S.Bražinová, A.Zeintl, E.Lu, Y.2024-03-262024-03-262023Stochastic Analysis and Application, Volume 41, Issue 3, Pages 474 - 508, 20230736-2994https://repositorio.unab.cl/handle/ria/55333Indexación: Scopus.As COVID-19 is spreading, national agencies need to monitor and track several metrics. Since we do not have perfect testing programs on the hand, one needs to develop an advanced sampling strategies for prevalence study, control and management. Here we introduce REDACS: Regional emergency-driven adaptive cluster sampling for effective COVID-19 management and control and justify its usage for COVID-19. We show its advantages over classical massive individual testing sampling plans. We also point out how regional and spatial heterogeneity underlines proper sampling. Fundamental importance of adaptive control parameters from emergency health stations and medical frontline is outlined. Since the Northern hemisphere entered Autumn and Winter season (this paper was originally submitted in November 2020), practical illustration from spatial heterogeneity of Chile (Southern hemisphere, which already experienced COVID-19 winter outbreak peak) is underlying the importance of proper regional heterogeneity of sampling plan. We explain the regional heterogeneity by microbiological backgrounds and link it to behavior of Lyapunov exponents. We also discuss screening by antigen tests from the perspective of “on the fly” biomarker validation, i.e., during the screening. © 2022 The Author(s). Published with license by Taylor & Francis Group, LLC.enACSAntigen test validationPrevalencePrimary 40E10REDACSSamplingSecondary 60G07ArtículoCC BY-NC-ND 4.0 DEED Attribution-NonCommercial-NoDerivs 4.0 International10.1080/07362994.2022.2033126